Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 745)
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Table of contents (22 chapters)
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Integration Aspects of Data Mining and Decision Support
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Applications of Data Mining and Decision Support
Keywords
About this book
Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others.
Decision support focuses on developing systems to help decision-makers solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses.
Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.
Reviews
From the reviews:
"This multi-authored book reports the findings of a European Commission sponsored project … . The aim of the project was to bring together the two disciplines, or practices, of data mining and decision support … . This book … can be recommended highly, to researchers or practitioners in the information sciences wanting an insight into just what data mining and decision support are really about, and where their potential lies." (David Bawden, JDOC - Journal of Documentation, Vol. 61 (3), 2005)
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining and Decision Support
Book Subtitle: Integration and Collaboration
Editors: Dunja Mladenić, Nada Lavrač, Marko Bohanec, Steve Moyle
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-0286-9
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2003
Hardcover ISBN: 978-1-4020-7388-5Published: 30 September 2003
Softcover ISBN: 978-1-4613-5004-0Published: 13 November 2012
eBook ISBN: 978-1-4615-0286-9Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XXIII, 275
Topics: Data Structures and Information Theory, Data Mining and Knowledge Discovery, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics